cuda: reset cuda context after reading memory size#23935
Open
0cc4m wants to merge 2 commits into
Open
Conversation
github-actions
Bot
added
Nvidia GPU
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Overview
Alternative to #23604, to allow reading CUDA memory in the router process in #21231 without allocating permanent memory through an initialized CUDA context. Instead of using NVML, this checks before running
cudaMemGetInfowhether the context is already initialized. If not, it releases the context after the call.I tried ref-counting as well as suggested in #23604 (comment), but that is harder to get right and introduces more edge cases.
Requirements